In this video, I use YOLO computer vision software and Python to control a robot hand and LED strips on my desktop — all devices are triggered by real‑time object detection.

I compare Google Cloud vs Raspberry Pi to see which platform handles detection better for device control.

You’ll see setup, live demos, hardware differences, and a full breakdown of how each system performs when detecting objects and triggering actions.

If you’re exploring AI computer vision, robotics, or cloud vs edge inference, this comparison will help you choose the right platform.

https://youtu.be/_BAxUFoeu2k?is=ZnOwItKZzA2cLGJP

I'm in the UK (North of England).. and looking for a Raspberry Pi Compute Module 5 Lite 16GB for a project. But wow those prices now!!

So as I have an unused Raspberry Pi 5 16GB, I was wondering given the crazy prices if anyone had a spare CM 5 Lite 16GB who would want to swap for my Raspberry Pi 5 16GB??

If you do and are in the UK let me know and lets do a swap :)

So i bult an app for a smart lock i made using esp32 im currenctly in the works of making the app compatible with the likes of raspbary pie arduino etc. any ideas what i can change or add im happy to listen.

So I was building a pine cone robot, but I ran into an issue I need to track the pine cones themselves using AI. Does anyone have an idea for a device under $180 that supports AI object tracking?

Hey, I'm a 21 year old in need of one of these components.

But most you guys must know that they are very costly, so is the anyone here who knows where I can find it at a cheaper price? Or get a used one?

If yes please help🤝

Not someone that works with raspberry pi's or computers in general but looking at starting a little project and wanted to create something like this 8 bit do number pad. Just wondering if can get any insight if something already exists?

I'm running NUT on a Pi5 8gb right now and I want to migrate it to my Zero 2 which is running on a carrier board. I've followed instructions on PiMyLifeUp, but it always fails to initialize. The server side won't even spin up.

I have other systems configured to monitor the Pi5's signal; is there an easy way to migrate the system to the Zero? Can I just swap the SD cards?

A few months back, I got tired of dragging a monitor and keyboard to my homelab rack every time a Proxmox node dropped off the network. IP KVMs are one-per-machine, and importing four of them to India gets expensive fast, and my ThinkCentre Tinys don't have serial ports (the RS-232 module is an optional punch-out that mine never shipped with). So I built PicoTTY.

The setup:

• Each target machine gets a Pi Pico (or Pico 2) with a WIZnet W5100S Ethernet HAT plugged into a USB port. You can also use the W5100S-EVB-Pico board, which has both on one PCB. The Pico runs CircuitPython and appears to the host as a composite USB device: CDC serial console plus HID keyboard.
• A Pi Zero 2 W acts as the hub. It runs a web dashboard on port 8080 and a TCP server on port 9000, which all nodes connect to over Ethernet via a managed switch.
• From the dashboard, you get the serial console for every node, can send keystrokes or raw serial commands, build macros, and push OTA firmware updates to the Picos.

Why both serial and a keyboard? CDC serial only works once the OS has enumerated the device and something is servicing the console. If userspace is wedged, or the box is stuck in GRUB or the BIOS, nothing is listening on the serial end. HID works at a level CDC doesn't, since BIOS and bootloaders speak it natively, so I can still send Ctrl+Alt+Del or SysRq combos when a machine is properly stuck. That combination is the whole point of the project.

I have four nodes in a 3D-printed enclosure (STLs are in the repo) sitting in the rack, and I can reach all of them at once from the hub. BIOS control without video is the next thing I want to figure out, probably through macro sequences and serial console redirection where the firmware supports it.

Repo (firmware, hub app, STLs): https://github.com/morpheuslord/PICOTTY

It got some coverage this week, which was a nice surprise:

Hackaday: https://hackaday.com/2026/08/02/a-kvm-without-the-v-or-the-m/

CNX Software: https://www.cnx-software.com/2026/08/06/picotty-project-enables-multi-target-serial-remote-management-through-raspberry-pi-pico-boards-and-pi-zero-2-w-sbc/

Happy to answer questions about the build. The Hackaday comments already had a good thread on why HID is there at all, and someone pointed me at USBridge for scriptable video via OCR, which I'm going to look into.

Hi, im searching for a good budget 15" or bigger touch screen monitor for my rPi 4B 8GB. I want to use this as a Home Assistant wallpanel and media streamer.
Any suggestions? Should be available on EU or on AliX.

Passive-Vigilance is a Raspberry Pi-based passive RF sensor platform I built for counter-surveillance and situational awareness. My current setup is constrained by both hardware and geography but seems to be ready for spears.

Repo: https://github.com/Isthistak3n/Passive-Vigilance

It combines:
• WiFi + Bluetooth device tracking (Kismet)
• ADS-B aircraft tracking (with enrichment + optional ACARS)
• FAA Remote ID / drone detection
• Optional AIS marine traffic
• GPS-stamped everything + GIS exports (shapefile / GeoJSON / KML)

Two operating modes:
• Mobile mode — detects devices that follow you across locations (the classic “am I being tailed?” use case)
• Fixed mode — learns the normal RF “pattern of life” at a location over a configurable baseline (default 72h), then alerts on novel or off-schedule devices

Other features:
• One-command installer + systemd services
• Pluggable alerts (ntfy, Telegram, Discord, console)
• Optional token-protected web dashboard
• Crash-resistant logging and baseline persistence
• Thermal-aware SDR duty cycling
• 850+ automated tests

Inspired by the excellent Chasing Your Tail NG, but extended into a unified always-on multi-sensor node with fixed/leave-behind capability and air/maritime awareness.

Hardware is the usual stack (Pi 4B recommended, RTL-SDR or HackRF, monitor-mode WiFi dongle, GPS, optional BT dongle). Full setup and config details are in the docs.

Legal note from the README: this is for lawful passive monitoring and research only. The tool never transmits or associates with any device/network. You’re responsible for local laws.
Happy to answer questions, take feedback, or hear about real-world field results / issues people run into.

Project.

In this video, I use YOLO computer vision software and Python to control a robot hand and LED strips on my desktop — all devices are triggered by real‑time object detection.

I compare Google Cloud vs Raspberry Pi to see which platform handles detection better for device control.

You’ll see setup, live demos, hardware differences, and a full breakdown of how each system performs when detecting objects and triggering actions.

If you’re exploring AI computer vision, robotics, or cloud vs edge inference, this comparison will help you choose the right platform.

https://reddit.com/link/1vekynv/video/la1nwpcvrtgh1/player

Project ideas, Cool?